A python']python script for longitudinally measuring the duration of vacant land uses

被引：4

作者：

Newman, Galen ^{[1
]}

Kim, Youjung ^{[1
]}

Kim, Gunwoo ^{[2
]}

Lee, Ryun Jung ^{[1
]}

Gu, Donghwan ^{[1
]}

Forghanparast, Kaveh ^{[1
]}

Goldberg, Daniel ^{[1
]}

机构：

[1] Texas A&M Univ, Dept Landscape Architecture & Urban Planning, College Stn, TX 77843 USA

[2] Hanyang Univ, Landscape & Urban Ecosyst, Seoul, South Korea

来源：

JOURNAL OF SPATIAL SCIENCE | 2022年 / 67卷 / 01期

关键词：

Vacant land; urban decline; geographic information systems; spatial analysis; !text type='python']python[!/text] script; NEIGHBORHOOD DECLINE; HOUSING ABANDONMENT; URBAN LAND; RECOVERY; MODEL;

D O I：

10.1080/14498596.2020.1721344

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

Populating and depopulating cities have some degree of underutilised land. The duration of vacancy, or length of time a property remains unused, more strongly influences urban decline than the amount of vacant land. Assessment of the duration of vacancy is seldom conducted, due to a lack of linking longitudinal data. This research creates and applies a Python script to track the duration of vacancy in Minneapolis, MN, U.S.A, to create a tool that can be utilised by cities with vacant land inventories. The tool can be used globally to prioritise treatment areas for urban regeneration plans.

引用

页码：129 / 141

页数：13

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